Attendees

Sl. No.	Topic	Presenter	Notes
1	Thoth as formal project in Anuket		Will be presented in next TSC meeting - for project creation request. Mainly to capture all the works done here. Mail has been sent for any Interest in leading this project. It is OK in Anuket for a person to be PTL in more than one project.
2	EUAG White-Paper		https://wiki.lfnetworking.org/pages/viewpage.action?pageId=56067017 Key Takeaways: Emphasis is too much on Data - Data First. I have these data, what can I do, approach. We should come up the "Decisions" that Telcos are interested. Problem Statement section include assumption "it is not a competitive advantage to have access to better AI tools" - Tools are not important, its the models, and Models definitely can give competitive advantage. Need to be careful about how to share data and results across competing companies - Sharing with Opensource projects may be easier than "competing companies" "Opensource Licensing Model" for Data - Ex: Whatever model built using(learning) the data, that should be OPEN tool. Where Thoth can contribute to EUAG: Data Model - For each of the problem statement ("Decision"), we can propose a data model.
3	Summary of "Gaps" in Existing Failure prediction works	Rohit Singh Rathaur Girish L	https://drive.google.com/file/d/1FdhT4d8QHQR7OqfXhx3UqviGDYW5nfBQ/view?usp=sharing Summarize and share your comments here: Failure Prediction using AI/ML in NFV Environments
4	Model Enhancement - Options	Rohit Singh Rathaur Girish L	Both girish and rohit have shared the proposals. Action: Sridhar to review. Ex: VM Prediction: VM's Failure Event + Infrastructure (platform) + VM-specific (virtual-Infrastructure) metrics that external to VM. - Sources are different. VM's Failure Event + Resource-Consumption (Application) metrics that is internal to VM - Sources are same. Hypothesis: Cadvisor (CMN) metrics = Collectd (CMN) metrics from Container.
5	Data Status		EUAG Meeting is yet to happen Request to LF-IT is sent - waiting for response. Work with Pod18 - not yet started. Barometer include Ansible playbooks to deploy collectd+ on K8S. https://github.com/opnfv/barometer/blob/master/docs/release/userguide/installguide.docker.rst https://github.com/opnfv/barometer/blob/master/docs/release/userguide/installguide.oneclick.rst
6	Project-1 (AlgoSelector)		Still looking for contributors.
7	Project-2 (FailureGen)		Found a contributor. Already started the work. Time-Varying, Load-Varying Stressng * Enlisting actions in Linux System that can cause failures
8	Failure Prediction Definition - Status (mapping Failures to Data)	Rohit Singh Rathaur Girish L	Rohit: Node and VM Girish: Container and app https://docs.google.com/spreadsheets/d/1N9LKZjx117zQHJSLcCFK8dwiOpswWyhZECaNNS6NKHo/edit?usp=sharing Update this page, if any change is required for the data model: Failure Prediction using AI/ML in NFV Environments